meraki-dashboard 0.1.0

Python library for scraping your meraki dashboard of the data necessary to automate functions not available in the public API.

meraki_dashboard (module for easier access to hidden apis such as delete umbrella)

This module is specifically for gathering relevant data from the meraki dashboard UI that is necessary for automating configurations that are not available via the public Meraki API. There is a lot more data necessary for some of these calls, the simplest I have used this module for is removing an umbrella integration on an SSID which only requires a couple parameters to execute, example here

Quick Start

1. Install via preferred method
2. Import into your script
3. Create and instance of the MerakiDashboardAPI() class dashboard = meraki_dashboard.MerakiDashboardAPI(username=xxxx,password=xxxx)
4. Get your dashboard data via one of the 2 available methods dashboard.get_org_data() or dashboard.get_orgs_data()
5. Parse the data received dashboard.parse_values()
6. Gather the locale or node_group or organization you need for your calls e.g. `[local for locale in dashboard.locales if locale.name in ['networkname1','networkname2']]
7. Start making API calls.
8. Watch your token expiration, this is not automatic yet, but a call to dashboard.refresh_token(shard_id) will refresh the values you need for subsequent calls
9. If you want to store your dashboard data for importing later, make a call to dashboard.use_sqlite(db_filename) and next time you instantiate your object, you can call use.sqlite(db_filename) before get_orgs_data() and it will import all of the previous data, you will still need to perform a meraki_login() to get the necessary dash_auth cookie for authentication to shard(s) and refresh_token() to get the relevant token(s) for your shard(s)

Note: I recommend using the dashboard.session object for calls as it will maintain the session_id cookie and dash_auth cookie as needed for you. It is up to you to ensure you pass in the shard specific headers for your calls.